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Dr. Aishwarya Swain Profile Picture

Research Associate

Dr. Aishwarya Swain

Bioinformatics

Odisha, India
8 Years
Joined Feb 2026
Institue Of Life Sciences
0 Consultations

About me

My technical expertise includes programming languages such as Python and R. I mostly use Linux-based operating systems and I have utilized various tools including R/Python packages for data analysis. Some of the examples include FastQC, HISAT, STAR, and CELLRANGER, as well as R packages such as Seurat, pheatmap, and ggplot2, among others, for visualization and interpretation of biological datasets. Alongside my expertise in RNA-seq, exome sequencing, and miRNA-seq data analysis

Interests: Bioinformatics, Structural Bioinformatics, genomics, pan-genome analysis, Sequencing data analysis

Skills

PythonMachine LearningNGS data analysisRNA-seq data analysisExome data

My Services

DEG analysis - Research Decode Consultancy Cover Image

DEG analysis

Bioinformatics Data analysis:Comprehensive Differential Gene Expression (DEG) analysis services for high-throughput sequencing datasets, including:RNA-seq (mRNA sequencing)miRNA-seqCRISPR sgRNA screen dataWith 6+ years of experience in transcriptomic data analysis, I offer end-to-end analytical support — from raw FASTQ files to biological interpretation and publication-ready results.Analysis✔ Quality control (FastQC, MultiQC)✔ Adapter trimming & filtering (fastp/Trimmomatic)✔ Alignment (HISAT2/STAR) or pseudoalignment (Salmon)✔ Read quantification (featureCounts/HTSeq)✔ Normalization & DEG analysis (DESeq2/edgeR/limma)✔ PCA & clustering✔ Volcano plots & heatmaps✔ Functional enrichment (GO/KEGG)✔ Pathway analysis✔ Publication-ready figuresCRISPR Screen Analysis✔ sgRNA count normalization✔ Identification of enriched/depleted genes (MAGeCK)✔ Gene ranking and hit identification✔ Pathway enrichment analysis of candidate genes✔ Visualization of screening resultsDeliverablesDEG tables (Excel + CSV format)Statistical summary (log2FC, adjusted p-values)High-quality figures (PNG/PDF)Detailed ReportComprehensive analysis of Whole Exome Sequencing (WES) data for somatic mutation detection, commonly used in cancer genomics studies to identify tumor-specific variants by comparing tumor and matched normal samples.Analysis Workflow✔ Raw sequencing quality assessment (FastQC, MultiQC)✔ Adapter trimming and quality filtering (fastp / Trimmomatic)✔ Alignment to reference genome (BWA-MEM)✔ Sorting and indexing of BAM files✔ Duplicate marking (Picard MarkDuplicates)✔ Base Quality Score Recalibration (GATK BQSR)✔ Somatic variant calling (GATK Mutect2 / Strelka2 / VarScan2)✔ Variant filtering (FilterMutectCalls)Variant Annotation✔ Functional annotation (ANNOVAR / VEP)✔ Identification of somatic SNPs and INDELs✔ Variant classification (missense, nonsense, frameshift, splice-site)✔ Population frequency filtering (gnomAD, 1000 Genomes)✔ Cancer database annotation (COSMIC, ClinVar)Downstream Analysis✔ Identification of tumor-specific mutations✔ Mutation burden analysis✔ Visualization and reporting of somatic variantsDeliverables✔ Annotated somatic variant tables (VCF + Excel format)✔ Variant impact summaries✔ Mutation statistics and QC reports✔ Publication-quality figures✔ Detailed analysis reportPricing (depending on sample size and complexity)RNA-seq (Standard DEG):₹15,000 – ₹30,000miRNA-seq: ₹18,000 – ₹35,000CRISPR sgRNA Screen:₹18,000 – ₹35,000Whole Exome Somatic Variant Analysis: ₹25,000 – ₹45,000***EXTRA ₹8000 Full manuscript drafting (Introduction + Methods + Results + Discussion)Exome Sequencing Data Analysis (Somatic Variant Calling)

₹700

Session

₹25000

Project
Dr. Aishwarya Swain

Dr. Aishwarya Swain

8 Years experience